Can I connect TimescaleDB to iDBQuery?

TimescaleDB is a time-series database implemented as a PostgreSQL extension, which means it speaks Postgres and iDBQuery connects to it with its native PostgreSQL connector — no export or workaround needed. You supply the host, port, database, and credentials, and iDBQuery introspects the schema, including hypertables.

With Timescale connected you can:

• Ask time-series questions in plain language — 'average power draw per hour last week' or 'peak concurrent sessions by day this month' — and iDBQuery writes and runs the SQL.
• Get cited answers — every figure traces back to the exact rows.
• Blend with relational data — join your Timescale metrics with a devices or customers table (in Timescale or another database) in one live model.

Because Timescale often powers dashboards for IoT, infrastructure, or financial ticks, iDBQuery is a fast way to let non-engineers ask questions of that data without learning SQL or time-bucketing functions. Point it at a read-only user and a replica so analytics never affects ingestion.

Example: an energy company stores meter readings in TimescaleDB. An operations lead asks 'which sites exceeded their load threshold yesterday?' and gets a cited, ranked list in seconds. If you're evaluating time-series stores, Timescale's Postgres compatibility is exactly why it's a first-class, native connection for iDBQuery.